Internship Opportunities: Research Intern - Cambridge, United Kingdom - Microsoft

Microsoft
Microsoft
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Cambridge, United Kingdom

2 weeks ago

Tom O´Connor

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Tom O´Connor

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Description

Microsoft Research, Health Futures (UK), is looking for an innovative, collaborative research intern at the intersection of multi-modal deep learning and healthcare.

You can be part of a multi-disciplinary team that values diversity and collaboration, composed of researchers, software developers, user researchers and clinicians.

The research will involve cloud-scale deep learning and advancing state-of-the-art visual-language deep/generative modeling techniques to help clinicians achieve more and improve existing healthcare workflows.

This role offers a unique opportunity for novel research in deep learning and to work on healthcare technology with the potential to impact millions of people around the world.

Come and join our vibrant team as part of our 12-weeks internship program.


Responsibilities:


  • Conduct innovative deep learning research alongside a team of experts in machine learning, software development, user research, and clinical practice.
  • Design, implement, and evaluate machine learning solutions which take into account clinical factors and responsible AI.
  • Share research findings with research and product teams.
  • Contribute to an evolving team with a growth mindset, creating clarity and influencing the team strategy.

Qualifications:


Required/Minimum Qualifications:


  • Currently enrolled in a PhD program in a related area, for example computer science, deep learning/machine learning, applied mathematics/statistics, physics, computational medicine.
  • Interns are expected to be physically located in their manager's Microsoft worksite location for the duration of their internship.

Preferred/Additional Qualifications:


  • Experience with machine learning, deep learning, multimodal data processing, radiology or a related field.
  • Handson experience with deep learning frameworks (PyTorch, JAX, etc.), cloud computing, and software engineering skills for rapid and accurate development.
  • Experience in working with medical imaging and text data.
  • Impact driven mindset and ability work and learn in a collaborative and diverse environment.
  • Proficient verbal and written communication skills.
  • Track record of publications in top ML and CV conferences or clinical journals.
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